Examples Of Ethnicity

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Race After Technology

From everyday apps to complex algorithms, Ruha Benjamin cuts through tech-industry hype to understand how emerging technologies can reinforce White supremacy and deepen social inequity. Benjamin argues that automation, far from being a sinister story of racist programmers scheming on the dark web, has the potential to hide, speed up, and deepen discrimination while appearing neutral and even benevolent when compared to the racism of a previous era. Presenting the concept of the “New Jim Code,” she shows how a range of discriminatory designs encode inequity by explicitly amplifying racial hierarchies; by ignoring but thereby replicating social divisions; or by aiming to fix racial bias but ultimately doing quite the opposite. Moreover, she makes a compelling case for race itself as a kind of technology, designed to stratify and sanctify social injustice in the architecture of everyday life. This illuminating guide provides conceptual tools for decoding tech promises with sociologically informed skepticism. In doing so, it challenges us to question not only the technologies we are sold but also the ones we ourselves manufacture. If you adopt this book for classroom use in the 2019-2020 academic year, the author would be pleased to arrange to Skype to a session of your class. If interested, enter your details in this sign-up sheet: https://buff.ly/2wJsvZr
Race, Ethnicity, and Language Data

Author: Institute of Medicine
language: en
Publisher: National Academies Press
Release Date: 2009-11-30
The goal of eliminating disparities in health care in the United States remains elusive. Even as quality improves on specific measures, disparities often persist. Addressing these disparities must begin with the fundamental step of bringing the nature of the disparities and the groups at risk for those disparities to light by collecting health care quality information stratified by race, ethnicity and language data. Then attention can be focused on where interventions might be best applied, and on planning and evaluating those efforts to inform the development of policy and the application of resources. A lack of standardization of categories for race, ethnicity, and language data has been suggested as one obstacle to achieving more widespread collection and utilization of these data. Race, Ethnicity, and Language Data identifies current models for collecting and coding race, ethnicity, and language data; reviews challenges involved in obtaining these data, and makes recommendations for a nationally standardized approach for use in health care quality improvement.
History and Ethnicity

These essays examine the importance of historical consicousness and the role of historiography in ‘ethnic’ situations, exploring the many ways in which ethnic groups select history, write or rewrite it, rescue appropriate or ignore it, forget or traduce it. Drawing on expert knowledge of regions ranging from the Amazon to contemporary Germany, the contributors bring anthropological and historical understanding to answer these questions, and investigate major topics such as the relationship between ethnic, national and state identifications, and the cultural work of creating them. Examples include Afrikaaners and Northern Ireland Protestants, as well as Mormons and Catalans. Bringing together a variety of themes that have recently become the focus of study – ethnicity, the uses and nature of history and the likelihood of objectivity in historical telling – the book will be of great interest ot students in the social sciences, anthropology, politics, history and international relations.